Tibeuleu/FOC_Reduction
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Add Nan handling and 3C405 new images

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This commit is contained in:
Thibault Barnouin
2021-06-14 16:34:52 +02:00
parent 30b0d67e84
commit a259bbc0c4
54 changed files with 50 additions and 13 deletions
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6
src/lib/plots.py
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@@ -184,7 +184,7 @@ def polarization_map(Stokes, SNRp_cut=3., SNRi_cut=30., step_vec=1,
pang_err = Stokes[np.argmax([Stokes[i].header['datatype']=='Pol_ang_err' for i in range(len(Stokes))])]
pivot_wav = Stokes[0].header['photplam']
convert_flux = 1.#Stokes[0].header['photflam']
convert_flux = Stokes[0].header['photflam']
wcs = WCS(Stokes[0]).deepcopy()
#Plot Stokes parameters map
@@ -194,11 +194,13 @@ def polarization_map(Stokes, SNRp_cut=3., SNRi_cut=30., step_vec=1,
#Compute SNR and apply cuts
pol.data[pol.data == 0.] = np.nan
SNRp = pol.data/pol_err.data
SNRp[np.isnan(SNRp)] = 0.
pol.data[SNRp < SNRp_cut] = np.nan
SNRi = stkI.data/np.sqrt(stk_cov.data[0,0])
SNRi[np.isnan(SNRi)] = 0.
pol.data[SNRi < SNRi_cut] = np.nan
mask = (SNRp < SNRp_cut) * (SNRi < SNRi_cut)
mask = (SNRp > SNRp_cut) * (SNRi > SNRi_cut)
# Look for pixel of max polarization
if np.isfinite(pol.data).any():